From aedb3a04e3bdd1f8ba2eef9293d8afc21f4b98f5 Mon Sep 17 00:00:00 2001
From: 雾聪 <wucong.lyb@alibaba-inc.com>
Date: 星期三, 23 八月 2023 19:54:48 +0800
Subject: [PATCH] update msg_vec

---
 funasr/runtime/onnxruntime/src/paraformer.cpp |   16 +++++++++++-----
 1 files changed, 11 insertions(+), 5 deletions(-)

diff --git a/funasr/runtime/onnxruntime/src/paraformer.cpp b/funasr/runtime/onnxruntime/src/paraformer.cpp
index cbaab2d..c042e0d 100644
--- a/funasr/runtime/onnxruntime/src/paraformer.cpp
+++ b/funasr/runtime/onnxruntime/src/paraformer.cpp
@@ -438,11 +438,11 @@
         }
     }
     string stamp_str="";
-    for (i=0; i<timestamp_list.size(); i++) {
-        stamp_str += std::to_string(timestamp_list[i][0]);
+    for (i=0; i<timestamp_merge.size(); i++) {
+        stamp_str += std::to_string(timestamp_merge[i][0]);
         stamp_str += ", ";
-        stamp_str += std::to_string(timestamp_list[i][1]);
-        if(i!=timestamp_list.size()-1){
+        stamp_str += std::to_string(timestamp_merge[i][1]);
+        if(i!=timestamp_merge.size()-1){
             stamp_str += ",";
         }
     }
@@ -658,7 +658,7 @@
         return "";
     }
 
-    string result;
+    string result="";
     try {
         auto outputTensor = m_session_->Run(Ort::RunOptions{nullptr}, m_szInputNames.data(), input_onnx.data(), input_onnx.size(), m_szOutputNames.data(), m_szOutputNames.size());
         std::vector<int64_t> outputShape = outputTensor[0].GetTensorTypeAndShapeInfo().GetShape();
@@ -719,6 +719,7 @@
     std::vector<int32_t> hotword_matrix;
     std::vector<int32_t> lengths;
     int hotword_size = 1;
+    int real_hw_size = 0;
     if (!hotwords.empty()) {
       std::vector<std::string> hotword_array = split(hotwords, ' ');
       hotword_size = hotword_array.size() + 1;
@@ -735,6 +736,9 @@
             chars.insert(chars.end(), tokens.begin(), tokens.end());
           }
         }
+        if(chars.size()==0){
+            continue;
+        }
         std::vector<int32_t> hw_vector(max_hotword_len, 0);
         int vector_len = std::min(max_hotword_len, (int)chars.size());
         for (int i=0; i<chars.size(); i++) {
@@ -743,8 +747,10 @@
         }
         std::cout << std::endl;
         lengths.push_back(vector_len);
+        real_hw_size += 1;
         hotword_matrix.insert(hotword_matrix.end(), hw_vector.begin(), hw_vector.end());
       }
+      hotword_size = real_hw_size + 1;
     }
     std::vector<int32_t> blank_vec(max_hotword_len, 0);
     blank_vec[0] = 1;

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